#[allow(unused_imports)]
use super::functions::*;
use crate::compute::ComputeKernel;
use super::types::NlistUpdateKernel;
impl ComputeKernel for NlistUpdateKernel {
fn name(&self) -> &str {
"NlistUpdateKernel"
}
fn execute(&self, inputs: &[&[f64]], outputs: &mut [Vec<f64>], work_size: usize) {
if inputs.len() < 3 || outputs.len() < 2 {
return;
}
let pos = inputs[0];
let ref_pos = inputs[1];
let cutoff = inputs[2][0];
let skin = inputs[2][1];
let n = work_size;
let mut max_disp2 = 0.0f64;
for i in 0..n {
let dx = pos[i * 3] - ref_pos[i * 3];
let dy = pos[i * 3 + 1] - ref_pos[i * 3 + 1];
let dz = pos[i * 3 + 2] - ref_pos[i * 3 + 2];
let d2 = dx * dx + dy * dy + dz * dz;
if d2 > max_disp2 {
max_disp2 = d2;
}
}
let max_disp = max_disp2.sqrt();
let needs_rebuild = max_disp > skin * 0.5;
if !needs_rebuild {
outputs[0] = vec![];
outputs[1] = vec![0.0, 0.0];
return;
}
let r_list = cutoff + skin;
let r_list2 = r_list * r_list;
let mut pairs = Vec::new();
for i in 0..n {
for j in (i + 1)..n {
let dx = pos[i * 3] - pos[j * 3];
let dy = pos[i * 3 + 1] - pos[j * 3 + 1];
let dz = pos[i * 3 + 2] - pos[j * 3 + 2];
let r2 = dx * dx + dy * dy + dz * dz;
if r2 < r_list2 {
pairs.push(i as f64);
pairs.push(j as f64);
}
}
}
let num_pairs = pairs.len() / 2;
outputs[0] = pairs;
outputs[1] = vec![1.0, num_pairs as f64];
}
}